Literature DB >> 10855431

Inference using categories.

T Yamauchi1, A B Markman.   

Abstract

How do people use category membership and similarity for making inductive inferences? The authors addressed this question by examining the impact of category labels and category features on inference and classification tasks that were designed to be comparable. In the inference task, participants predicted the value of a missing feature of an item given its category label and other feature values. In the classification task, participants predicted the category label of an item given its feature values. The results from 4 experiments suggest that category membership influences inference even when similarity information contradicts the category label. This tendency was stronger when the category label conveyed class inclusion information than when the label reflected a feature of the category. These findings suggest that category membership affects inference beyond similarity and that category labels and category features are 2 different things.

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Mesh:

Year:  2000        PMID: 10855431     DOI: 10.1037//0278-7393.26.3.776

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  31 in total

1.  A further investigation of category learning by inference.

Authors:  Amy L Anderson; Brian H Ross; Seth Chin-Parker
Journal:  Mem Cognit       Date:  2002-01

2.  The effect of category learning on sensitivity to within-category correlations.

Authors:  Seth Chin-Parker; Brian H Ross
Journal:  Mem Cognit       Date:  2002-04

3.  Learning abstract relations from using categories.

Authors:  Brian H Ross; Justin L Warren
Journal:  Mem Cognit       Date:  2002-07

4.  Blocking in category learning.

Authors:  Lewis Bott; Aaron B Hoffman; Gregory L Murphy
Journal:  J Exp Psychol Gen       Date:  2007-11

5.  Tracking mouse movement in feature inference: category labels are different from feature labels.

Authors:  Takashm Yamauchi; Nicholas Kohn; Na-Yung Yu
Journal:  Mem Cognit       Date:  2007-07

6.  Category labels versus feature labels: category labels polarize inferential predictions.

Authors:  Takashi Yamauchi; Na-Yung Yu
Journal:  Mem Cognit       Date:  2008-04

7.  Categorizing entities by common role.

Authors:  Micah B Goldwater; Arthur B Markman
Journal:  Psychon Bull Rev       Date:  2011-04

Review 8.  Visual category learning: Navigating the intersection of rules and similarity.

Authors:  Gregory I Hughes; Ayanna K Thomas
Journal:  Psychon Bull Rev       Date:  2021-01-19

9.  Linguistic labels, dynamic visual features, and attention in infant category learning.

Authors:  Wei Sophia Deng; Vladimir M Sloutsky
Journal:  J Exp Child Psychol       Date:  2015-03-25

10.  Category inference as a function of correlational structure, category discriminability, and number of available cues.

Authors:  Matthew E Lancaster; Ryan Shelhamer; Donald Homa
Journal:  Mem Cognit       Date:  2013-04
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